Self-guided Cognitive Behavioral Therapy Apps for Depression: Systematic Assessment of Features, Functionality, and Congruence With Evidence
Overview
This systematic assessment evaluates the features, functionality, and evidence congruence of self-guided CBT apps for depression available in major app stores. The study analyzes 98 identified applications to determine their inclusion of evidence-based techniques, data security practices, and alignment with clinical guidelines. It is intended for readers interested in the technical and regulatory landscape of digital mental health interventions.
- ID
5086ea1b700040e7- Source org
- PubMed Central
- Author
- Laura Martinengo (Nanyang Technological University), Anne‐Claire Stona (Nanyang Technological University), Konstadina Griva (Nanyang Technological University), Paola Dazzan (King's College London), Carmine M. Pariante (King's College London), Florian von Wangenheim (ETH Zurich), Josip Car (Nanyang Technological University)
- Published
- 2021-04-23
- OA status
- gold
- DOI
- 10.2196/27619
- PMID
- Not recorded
- PMCID
- Not recorded
- Citations
- 63
Tags
Verification
- identityok via crossref · score 1 · checked_at unknown
- legitimacykeep via unknown · score 1 · checked_at unknown
- linkok via http-check · 2026-07-21T15:52:31.592259+00:00
Cite this entry
BibTeX
@article{allodium:5086ea1b700040e7,
title = {Self-guided Cognitive Behavioral Therapy Apps for Depression: Systematic Assessment of Features, Functionality, and Congruence With Evidence},
author = {Laura Martinengo and Anne‐Claire Stona and Konstadina Griva and Paola Dazzan and Carmine M. Pariante and Florian von Wangenheim and Josip Car},
year = {2021},
journal = {PubMed Central},
doi = {10.2196/27619},
url = {https://doi.org/10.2196/27619}
}RIS
TY - JOUR TI - Self-guided Cognitive Behavioral Therapy Apps for Depression: Systematic Assessment of Features, Functionality, and Congruence With Evidence AU - Martinengo, Laura AU - Stona, Anne‐Claire AU - Griva, Konstadina AU - Dazzan, Paola AU - Pariante, Carmine M. AU - Wangenheim, Florian von AU - Car, Josip PY - 2021 PB - PubMed Central DO - 10.2196/27619 UR - https://doi.org/10.2196/27619 ER -
APA
Martinengo, L., Stona, A., Griva, K., Dazzan, P., Pariante, C. M., Wangenheim, F. V., & Car, J. (2021). Self-guided Cognitive Behavioral Therapy Apps for Depression: Systematic Assessment of Features, Functionality, and Congruence With Evidence. PubMed Central. https://doi.org/10.2196/27619
Related entries
- User Experience of Cognitive Behavioral Therapy Apps for Depression: An Analysis of App Functionality and User Reviews
- Implementation of Cognitive Behavioral Therapy in e–Mental Health Apps: Literature Review
- A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study
- Adherence to Established Treatment Guidelines Among Unguided Digital Interventions for Depression: Quality Evaluation of 28 Web-Based Programs and Mobile Apps
- Efficacy of a Cognitive Behavioral Therapy–Based Online Self-Help Group for Depression and Suicide Ideation: Randomized Controlled Trial
- A Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression
- Cognitive and Behavioral Skills Exercises Completed by Patients with Major Depression During Smartphone Cognitive Behavioral Therapy: Secondary Analysis of a Randomized Controlled Trial
- Apps With Maps—Anxiety and Depression Mobile Apps With Evidence-Based Frameworks: Systematic Search of Major App Stores
- Identifying Evidence-Based Strategies in a Digital Mental Health Intervention for Depression: Qualitative Content Analysis
- Efficacy of Self-guided Internet-Based Cognitive Behavioral Therapy in the Treatment of Depressive Symptoms